publications

2023

1. 

   Adding Machine Learning to Polymath’s Perception System

   Kai Ma

   Polymath Robotics Blog, 2023

   Blog Post

2. 

   Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis

   Kai Ma, Siyuan He, Grant Sinha, and 5 more authors

   Sensors, 2023

   Paper Code Bib

   @article{sensors-23-08122,
     doi = {10.3390/s23198122},
     author = {Ma, Kai and He, Siyuan and Sinha, Grant and Ebadi, Ashkan and Florea, Adrian and Tremblay, Stéphane and Wong, Alexander and Xi, Pengcheng},
     title = {Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis},
     url = {https://www.mdpi.com/1424-8220/23/19/8122},
     paper = {https://www.mdpi.com/1424-8220/23/19/8122},
     year = {2023},
     journal = {Sensors},
     publisher = {MDPI},
     volume = {23},
     number = {19},
     issn = {1424-8220},
   }

2022

1. 

   A Trustworthy Framework for Medical Image Analysis with Deep Learning (Extended Abstract)

   Kai Ma, Siyuan He, Pengcheng Xi, and 3 more authors

   8th Annual Conference on Vision and Intelligent Systems, 2022

   arXiv Poster Bib

   @article{ma-2023-cvis,
     doi = {10.48550/ARXIV.2212.02764},
     author = {Ma, Kai and He, Siyuan and Xi, Pengcheng and Ebadi, Ashkan and Tremblay, Stéphane and Wong, Alexander},
     keywords = {Image and Video Processing (eess.IV), Computer Vision and Pattern Recognition (cs.CV), Machine Learning (cs.LG), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Computer and information sciences, FOS: Computer and information sciences},
     title = {A Trustworthy Framework for Medical Image Analysis with Deep Learning (Extended Abstract)},
     publisher = {Conference on Vision and Intelligent Systems 2022},
     year = {2022},
     journal = {8th Annual Conference on Vision and Intelligent Systems},
   }

2. 

   Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography

   Kai Ma, Pengcheng Xi, Karim Habashy, and 3 more authors

   39th International Conference on Machine Learning, Healthcare AI & COVID-19 Workshop, 2022

   arXiv Code Slides Bib

   @article{ma-2022-icml-cvw,
     doi = {10.48550/ARXIV.2207.09312},
     author = {Ma, Kai and Xi, Pengcheng and Habashy, Karim and Ebadi, Ashkan and Tremblay, Stéphane and Wong, Alexander},
     keywords = {Image and Video Processing (eess.IV), Computer Vision and Pattern Recognition (cs.CV), Machine Learning (cs.LG), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Computer and information sciences, FOS: Computer and information sciences},
     title = {Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography},
     publisher = {arXiv},
     year = {2022},
     copyright = {Creative Commons Attribution 4.0 International},
     journal = {39th International Conference on Machine Learning, Healthcare AI & COVID-19 Workshop},
   }